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Scientific Computing at the University Graz is looking for a University Assistant without doctorate (m/f/d) https://jobs.uni-graz.at/en/jobs/d410d7e9-83e7-4721-9725-a360316e7bcd • Application deadline
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, transform, and integrate data into relational databases • Work with scripting and programming languages (e.g., Python, SQL ) to automate data workflows • Understand and apply data governance
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Experience in modeling (e.g., using Aspen, AVEVA, Python) is an advantage but not mandatory Knowledge of thermodynamics, process engineering, and/or electrochemistry is a plus Excellent organizational skills
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meetings. The position will also receive training in scientific computing, data management, and responsible research practices. Lab : https://dweisz.github.io/ Union : https
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Experience with soldering, multimeters, oscilloscopes, or similar tools Basic computer/programming experience (Python, MATLAB , or similar is a plus) Experience maintaining or troubleshooting electronic or
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Excel, Outlook, and Word. A basic skill level with Adobe Creative Cloud, particularly Acrobat, Illustrator, Photoshop, and Bridge. Proficiency in Python programming for geoprocessing purposes Previous
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as Bash, PowerShell, Python, and low-level languages like C or C++. Experience in technical support, training, presenting, and creating documentation tailored to distinct audiences is desirable
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Qualifications 1. Demonstrated experience with data analytics programming in Python or R 2. Demonstrated experience with data reporting tools, such as Power BI, Tableau, and/or Cognos. 3. Demonstrated
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Statistical Software Support : Candidates for software support positions should be proficient in using one or more of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or
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developments and research findings Developing PC exercises: Designing them; then assembling tools, exercise data and scripts (e.g., Bash, Python); creating exercise sheets and model solutions; conducting user